Back

Human ovarian ageing is characterized by oxidative damage and mitochondrial dysfunction

Smits, M. A. J.; Schomakers, B. V.; van Weeghel, M.; Wever, E. J. M.; Wust, R. C. I.; Dijk, F.; Janssens, G. E.; Goddijn, M.; Mastenbroek, S.; Houtkooper, R.; Hamer, G.

2023-02-01 cell biology
10.1101/2023.01.31.525662 bioRxiv
Show abstract

Human ovarian ageing encompasses the age-related decline in female fertility. Oxidative stress and mitochondrial dysfunction in oocytes are suggested as causal, but corroborating evidence is limited. Using immunofluorescence imaging on human ovarian tissue, we found oxidative damage by protein and lipid (per)oxidation at the primordial follicle stage. Additionally, using comprehensive metabolomics and lipidomics, a cohort of 150 human germinal vesicles and metaphase I oocytes and 15 corresponding cumulus cell samples displayed a shift in glutathione to oxiglutathione ratio and depletion of phospholipids. Age-related changes in polar metabolites suggested a decrease in mitochondrial function, as demonstrated by NAD+, purine and pyrimidine depletion, while glycolysis substrates and glutamine accumulated with age. Oocytes of advanced maternal age likely used alternative energy sources like glycolysis and the adenosine salvage pathway, and possibly increased ATP production in cumulus cells. These findings indicate that oocytes of advanced maternal age suffer from oxidative damage and mitochondrial dysfunction. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/525662v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1d4e4f5org.highwire.dtl.DTLVardef@397eborg.highwire.dtl.DTLVardef@1eacf90org.highwire.dtl.DTLVardef@e13471_HPS_FORMAT_FIGEXP M_FIG C_FIG

Published in Human Reproduction (predicted rank #1) · training set

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.